Development of an Automatic Control System for Individual Air Conditioning Equipment Using Machine Learning

In individual air conditioning environments, automatic control of air conditioning has not been implemented until now, and control has been manually conducted based on individual sensations like feeling hot or cold. This has become a problem in terms of both comfort for all occupants and energy consumption. In this research, we aim to create a comfortable thermal environment based on data obtained from a group of IoT devices, such as room temperature. By utilizing machine learning, we will develop a system that estimates the state in which occupants feel comfortable and automatically controls the air conditioning environment.